4.8 Article

Ion Crystal Transducer for Strong Coupling between Single Ions and Single Photons

Journal

PHYSICAL REVIEW LETTERS
Volume 107, Issue 3, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevLett.107.030501

Keywords

-

Funding

  1. EU
  2. DFG Forschergruppe [635]
  3. NSF CUA
  4. DARPA QUEST
  5. AFOSR MURI
  6. Packard Foundation
  7. NSF [PHY-0970055]
  8. Direct For Mathematical & Physical Scien
  9. Division Of Physics [1125846] Funding Source: National Science Foundation

Ask authors/readers for more resources

A new approach for the realization of a quantum interface between single photons and single ions in an ion crystal is proposed and analyzed. In our approach the coupling between a single photon and a single ion is enhanced via the collective degrees of freedom of the ion crystal. Applications including single-photon generation, a memory for a quantum repeater, and a deterministic photon-photon, photon-phonon, or photon-ion entangler are discussed.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Multidisciplinary Sciences

Beam steering at the nanosecond time scale with an atomically thin reflector

Trond Andersen, Ryan J. Gelly, Giovanni Scuri, Bo L. Dwyer, Dominik S. Wild, Rivka Bekenstein, Andrey Sushko, Jiho Sung, You Zhou, Alexander A. Zibrov, Xiaoling Liu, Andrew Y. Joe, Kenji Watanabe, Takashi Taniguchi, Susanne F. Yelin, Philip Kim, Hongkun Park, Mikhail D. Lukin

Summary: Techniques to control the flow of light on subwavelength scales enable new optical systems and device applications. This study demonstrates a few-pixel beam steering device based on electrostatic gate control of excitons in an atomically thin semiconductor with strong light-matter interactions. The device achieves continuously tunable beam deflection, two-dimensional beam steering, and fast switching times down to 1.6 nanoseconds. This opens possibilities for atomically thin optical systems with rapidly switchable beam arrays and quantum metasurfaces.

NATURE COMMUNICATIONS (2022)

Article Physics, Multidisciplinary

Scalable Quantum Logic Spectroscopy

Kaifeng Cui, Jose Valencia, Kevin T. Boyce, Ethan R. Clements, David R. Leibrandt, David B. Hume

Summary: In quantum logic spectroscopy (QLS), a trapped ion is used as a sensor to detect the state of an otherwise inaccessible ion. A new technique based on a Schrodinger cat interferometer is developed to scale QLS to larger ion numbers. The method demonstrates higher detection efficiency by increasing the number of logic ions.

PHYSICAL REVIEW LETTERS (2022)

Article Chemistry, Physical

Chemical reactivity under collective vibrational strong coupling

Derek S. S. Wang, Johannes Flick, Susanne F. F. Yelin

Summary: Recent experiments have shown the potential to alter and steer chemical reactions in optical cavities, but the theoretical understanding remains limited. This paper focuses on the unimolecular dissociation reactions of multiple molecules interacting with an infrared cavity mode. The study reveals that increasing the number of aligned molecules can slow down the reaction rate if the cavity mode is resonant with a vibrational mode of the molecules. A scaling relation is also discovered to estimate the onset of reaction rate modification by collective vibrational strong coupling.

JOURNAL OF CHEMICAL PHYSICS (2022)

Article Chemistry, Physical

Efficient fully-coherent quantum signal processing algorithms for real-time dynamics simulation

John M. Martyn, Yuan Liu, Zachary E. Chin, Isaac L. Chuang

Summary: Simulating the unitary dynamics of a quantum system is a fundamental problem in quantum mechanics, and quantum computers have an advantage in simulating electronic dynamics. This paper presents a fully-coherent simulation algorithm based on quantum signal processing, which can efficiently simulate time-dependent quantum systems.

JOURNAL OF CHEMICAL PHYSICS (2023)

Article Physics, Multidisciplinary

Improved interspecies optical clock comparisons through differential spectroscopy

May E. Kim, William F. McGrew, Nicholas V. Nardelli, Ethan R. Clements, Youssef S. Hassan, Xiaogang Zhang, Jose L. Valencia, Holly Leopardi, David B. Hume, Tara M. Fortier, Andrew D. Ludlow, David R. Leibrandt

Summary: Comparisons of high-accuracy optical atomic clocks are crucial for precision tests, relativistic geodesy, and the anticipated redefinition of the second. This study demonstrates a new comparison protocol that allows for longer interrogation times, resulting in a significant improvement in comparison instability. The achieved stability represents one of the most stable interspecies clock comparisons to date.

NATURE PHYSICS (2023)

Review Quantum Science & Technology

Cold atoms in space: community workshop summary and proposed road-map

Ivan Alonso, Cristiano Alpigiani, Brett Altschul, Henrique Araujo, Gianluigi Arduini, Jan Arlt, Leonardo Badurina, Antun Balaz, Satvika Bandarupally, Barry C. Barish, Michele Barone, Michele Barsanti, Steven Bass, Angelo Bassi, Baptiste Battelier, Charles F. A. Baynham, Quentin Beaufils, Joel Berge, Jose Bernabeu, Andrea Bertoldi, Robert Bingham, Sebastien Bize, Diego Blas, Kai Bongs, Philippe Bouyer, Carla Braitenberg, Christian Brand, Claus Braxmaier, Alexandre Bresson, Oliver Buchmueller, Dmitry Budker, Luis Bugalho, Sergey Burdin, Luigi Cacciapuoti, Simone Callegari, Xavier Calmet, Davide Calonico, Benjamin Canuel, Laurentiu-Ioan Caramete, Olivier Carraz, Donatella Cassettari, Pratik Chakraborty, Swapan Chattopadhyay, Upasna Chauhan, Xuzong Chen, Yu-Ao Chen, Maria Luisa Chiofalo, Jonathon Coleman, Robin Corgier, J. P. Cotter, A. Michael Cruise, Yanou Cui, Gavin Davies, Albert De Roeck, Marcel Demarteau, Andrei Derevianko, Marco Di Clemente, Goran S. Djordjevic, Sandro Donadi, Olivier Dore, Peter Dornan, Michael Doser, Giannis Drougakis, Jacob Dunningham, Sajan Easo, Joshua Eby, Gedminas Elertas, John Ellis, David Evans, Pandora Examilioti, Pavel Fadeev, Mattia Fani, Farida Fassi, Marco Fattori, Michael A. Fedderke, Daniel Felea, Chen-Hao Feng, Jorge Ferreras, Robert Flack, Victor V. Flambaum, Rene Forsberg, Mark Fromhold, Naceur Gaaloul, Barry M. Garraway, Maria Georgousi, Andrew Geraci, Kurt Gibble, Valerie Gibson, Patrick Gill, GianF Giudice, Jon Goldwin, Oliver Gould, Oleg Grachov, Peter W. Graham, Dario Grasso, PaulF Griffin, Christine Guerlin, Ratnesh K. Gupta, Martin Haehnelt, Leonie Hawkins, Aurelien Hees, Victoria A. Henderson, Waldemar Herr, Sven Herrmann, Thomas Hird, Richard Hobson, Vincent Hock, Jason M. Hogan, Bodil Holst, Michael Holynski, Ulf Israelsson, Peter Jeglic, Philippe Jetzer, Gediminas Juzeliunas, Rainer Kaltenbaek, Jernej F. Kamenik, Alex Kehagias, Teodora Kirova, Marton Kiss-Toth, Sebastian Koke, Shimon Kolkowitz, Georgy Kornakov, Tim Kovachy, Markus Krutzik, Mukesh Kumar, Pradeep Kumar, Claus Lammerzahl, Greg Landsberg, Christophe Le Poncin-Lafitte, David R. Leibrandt, Thomas Leveque, Marek Lewicki, Rui Li, Anna Lipniacka, Christian Lisdat, Mia Liu, J. L. Lopez-Gonzalez, Sina Loriani, Jorma Louko, Giuseppe Gaetano Luciano, Nathan Lundblad, Steve Maddox, M. A. Mahmoud, Azadeh Maleknejad, John March-Russell, Didier Massonnet, Christopher McCabe, Matthias Meister, Tadej Meznarsic, Salvatore Micalizio, Federica Migliaccio, Peter Millington, Milan Milosevic, Jeremiah Mitchell, Gavin W. Morley, Jurgen Muller, Eamonn Murphy, Ozgur E. Mustecaplioglu, Val O'Shea, Daniel K. L. Oi, Judith Olson, Debapriya Pal, Dimitris G. Papazoglou, Elizabeth Pasatembou, Mauro Paternostro, Krzysztof Pawlowski, Emanuele Pelucchi, Franck Pereira dos Santos, Achim Peters, Igor Pikovski, Apostolos Pilaftsis, Alexandra Pinto, Marco Prevedelli, Vishnupriya Puthiya-Veettil, John Quenby, Johann Rafelski, Ernst M. Rasel, Cornelis Ravensbergen, Mirko Reguzzoni, Andrea Richaud, Isabelle Riou, Markus Rothacher, Albert Roura, Andreas Ruschhaupt, DylanO Sabulsky, Marianna Safronova, Ippocratis D. Saltas, Leonardo Salvi, Muhammed Sameed, Pandey Saurabh, Stefan Schaffer, Stephan Schiller, Manuel Schilling, Vladimir Schkolnik, Dennis Schlippert, Piet O. Schmidt, Harald Schnatz, Jean Schneider, Ulrich Schneider, Florian Schreck, Christian Schubert, Armin Shayeghi, Nathaniel Sherrill, Ian Shipsey, Carla Signorini, Rajeev Singh, Yeshpal Singh, Constantinos Skordis, Augusto Smerzi, Carlos F. Sopuerta, Fiodor Sorrentino, Paraskevas Sphicas, Yevgeny Stadnik, Petruta Stefanescu, Marco G. Tarallo, Silvia Tentindo, Guglielmo M. Tino, Jonathan N. Tinsley, Vincenza Tornatore, Philipp Treutlein, Andrea Trombettoni, Yu-Dai Tsai, Philip Tuckey, Melissa A. Uchida, Tristan Valenzuela, Mathias Van den Bossche, Ville Vaskonen, Gunjan Verma, Flavio Vetrano, Christian Vogt, Wolf von Klitzing, Pierre Waller, Reinhold Walser, Eric Wille, Jason Williams, Patrick Windpassinger, Ulrich Wittrock, Peter Wolf, Marian Woltmann, Lisa Worner, Andre Xuereb, Mohamed Yahia, Efe Yazgan, Nan Yu, Nassim Zahzam, Emmanuel Zambrini Cruzeiro, Mingsheng Zhan, Xinhao Zou, Jure Zupan, Erik Zupanic

Summary: This article summarizes the discussions from a virtual Community Workshop on Cold Atoms in Space, focusing on the current status of cold atom technologies, the potential scientific and societal opportunities of using them in space, and the necessary developments for their operation in space. It covers various cold atom technologies, such as atomic clocks, quantum gravimeters and accelerometers, and atom interferometers. The potential applications include metrology, geodesy, and fundamental science experiments. The article also presents a draft roadmap for achieving these goals and proposes discussion with relevant communities and space agencies.

EPJ QUANTUM TECHNOLOGY (2022)

Article Quantum Science & Technology

Markov chain Monte Carlo enhanced variational quantum algorithms

Taylor L. Patti, Omar Shehab, Khadijeh Najafi, Susanne F. Yelin

Summary: This article introduces a method that combines classical Markov chain Monte Carlo techniques with variational quantum algorithms, allowing the algorithm to converge to global minima and improve solution quality. The effectiveness of the technique is demonstrated through quantum circuit simulations and tests on large-scale quantum models.

QUANTUM SCIENCE AND TECHNOLOGY (2023)

Article Physics, Multidisciplinary

Toward Prediction of Financial Crashes with a D-Wave Quantum Annealer

Yongcheng Ding, Javier Gonzalez-Conde, Lucas Lamata, Jose D. Martin-Guerrero, Enrique Lizaso, Samuel Mugel, Xi Chen, Roman Orus, Enrique Solano, Mikel Sanz

Summary: In this study, a novel approach using a D-Wave quantum annealer is experimentally explored to predict financial crashes in a complex financial network. The performance of the quantum annealer in achieving financial equilibrium is benchmarked. The equilibrium condition of a nonlinear financial model is embedded into a higher-order unconstrained binary optimization (HUBO) problem, which is then transformed into a spin-1/2 Hamiltonian with at most, two-qubit interactions. The problem is equivalent to finding the ground state of an interacting spin Hamiltonian, which can be approximated with a quantum annealer. The experiment paves the way for the codification of this quantitative macroeconomics problem in quantum annealers.

ENTROPY (2023)

Article Physics, Multidisciplinary

Long-Range Free Fermions: Lieb-Robinson Bound, Clustering Properties, and Topological Phases

Zongping Gong, Tommaso Guaita, J. Ignacio Cirac

Summary: In this paper, we study free fermions on lattices in arbitrary dimensions with hopping amplitudes that decay with a power-law. We provide a comprehensive set of constraints on the equilibrium and nonequilibrium properties of these fermions in the regime where the power-law decay is larger than the spatial dimension. Our results include the derivation of an optimal Lieb-Robinson bound and a clustering property for the Green's function. We also discuss the implications of these results on topological phases in long-range free-fermion systems.

PHYSICAL REVIEW LETTERS (2023)

Editorial Material Computer Science, Information Systems

Quantum and Optoelectronic Devices, Circuits and Systems

Lucas Lamata

ELECTRONICS (2023)

Article Quantum Science & Technology

Quantum Machine Learning Implementations: Proposals and Experiments

Lucas Lamata

Summary: This article provides an overview of recent theoretical proposals and experimental implementations in the field of quantum machine learning. It reviews specific topics such as quantum reinforcement learning, quantum autoencoders, and quantum memristors, and their realization in quantum photonics and superconducting circuits. The field of quantum machine learning has the potential to produce significant results for industry and society, making it necessary to advance initial quantum implementations in noisy intermediate-scale quantum computers for better machine learning calculations.

ADVANCED QUANTUM TECHNOLOGIES (2023)

Article Quantum Science & Technology

Benefits of Open Quantum Systems for Quantum Machine Learning

Maria Laura Olivera-Atencio, Lucas Lamata, Jesus Casado-Pascual

Summary: Quantum machine learning (QML), which has the potential to revolutionize data processing, faces challenges from environmental noise and dissipation.While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages.Surprisingly, under certain conditions, noise and dissipation can benefit QML.Adapting to open quantum systems holds potential for groundbreaking discoveries that may reshape the future of quantum computing.

ADVANCED QUANTUM TECHNOLOGIES (2023)

Article Optics

Deterministic single-photon source in the ultrastrong-coupling regime

Jie Peng, Jianing Tang, Pinghua Tang, Zhongzhou Ren, Junlong Tian, Nancy Barraza, Gabriel Alvarado Barrios, Lucas Lamata, Enrique Solano, F. Albarran-Arriagada

Summary: In this study, we propose a high-quality deterministic single-photon source that can emit two single photons with any time separation. By utilizing special solutions and adiabatic evolutions, this proposal can be achieved rapidly, taking advantage of the ultrastrong coupling.

PHYSICAL REVIEW A (2023)

Article Physics, Nuclear

Digital quantum simulation of an extended Agassi model: Using machine learning to disentangle its phase-diagram

Alvaro Saiz, Jose-Enrique Garcia-Ramos, Jose Miguel Arias, Lucas Lamata, Pedro Perez-Fernandez

Summary: A digital quantum simulation for the extended Agassi model is proposed using a quantum platform with eight trapped ions. The aim of this work is to simulate the model within the current limitations of trapped ion facilities and to demonstrate the use of machine learning algorithm to accurately determine the system's phase.

PHYSICAL REVIEW C (2022)

Article Computer Science, Theory & Methods

An Approach to Interfacing the Brain with Quantum Computers: Practical Steps and Caveats

E. R. Miranda, S. Venkatesh, J. D. Martin-Guerrero, C. Hernani-Morales, L. Lamata, E. Solano

Summary: This report presents a proof-of-concept system that demonstrates how a qubit can be controlled using mental activity. The researchers have developed a method to encode neural signals as instructions for a quantum computer, allowing individuals to issue commands to rotate and measure the qubit using their mental activity. Currently, the system runs on a software simulation, as the hardware and brain activity sensing technology are not advanced enough for real-time control of quantum states. However, this study brings us closer to the possibility of interfacing the brain with real quantum machines as advancements are made in both areas.

INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING (2022)

No Data Available